DhanushVN-hash

DhanushVN-hash / CyberDraftEngine

Public

Automation tool for investigative letters: Telecom, intermediaries, and banks — built with Python, Tkinter, SQLite, and python-docx.

26
1
89% credibility
Found Feb 05, 2026 at 13 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A Windows desktop app that helps cyber crime investigators generate customizable official request letters to banks, social media companies, and telecom providers from case details and input data like Excel spreadsheets.

How It Works

1
🔍 Discover the letter maker

You hear about a handy tool that helps police officers quickly create official request letters for cyber crime cases.

2
🚀 Launch the app

Double-click the program file on your Windows computer to open the friendly login screen.

3
🔐 Sign in as officer

Enter your username and password, like the default admin one, to access your dashboard.

4
📋 Set up your case

Fill in the crime number and case ID, and pick a folder with letter templates to get everything ready.

5
Pick letter type
🏦
Bank notices

Upload a spreadsheet of bank transactions to create letters asking for account details.

📱
Social media

Enter usernames or links from platforms like WhatsApp to request user info.

📞
Phone provider

Add phone numbers or IMEIs to ask telecom companies for call records.

6
✨ Add your details

Type in the specific info like accounts or dates, feeling the power of automation.

7
🪄 Create letters

Hit generate and watch as perfect official letters fill with your data.

🎉 Letters ready

Open the folder in your Documents to find ready-to-print or send letters, saving hours of typing.

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Star Growth

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AI-Generated Review

What is CyberDraftEngine?

CyberDraftEngine is a Python desktop app that automates generating official investigative letters to banks, social intermediaries like WhatsApp or Instagram, and telecom providers. Users log in as officers, enter case details like crime numbers and NCRP IDs, upload Excel sheets for bank transaction requests or add phone numbers/URLs, then produce formatted Word docs from templates. Built with Tkinter for the GUI, SQLite for local case storage, and python-docx for document handling, it streamlines repetitive legal drafting for cyber crime probes.

Why is it gaining traction?

In a sea of general automation tools, this stands out as a targeted automation github repo for law enforcement paperwork, batch-processing Excel data into per-bank letters with dynamic tables or handling multi-platform requests in one go. Developers in niche automation scripting appreciate the ready-to-run exe, persistent officer profiles, and log files for troubleshooting, cutting manual Word edits from hours to minutes. It's a practical automation toolbox entry for devops-like workflows in regulated fields.

Who should use this?

Cyber crime investigators requesting bank transaction histories, platform user data, or telco CDRs via formal letters. Police officers or legal aides in digital forensics teams tired of templating Excel-driven notices for multiple intermediaries. Small cyber units needing quick automation tools without custom dev.

Verdict

Grab it if you're in cyber investigations—solid niche automation github project that delivers user-ready letters fast, despite 21 stars signaling early maturity. The 0.8999999761581421% credibility score flags limited testing, so verify templates and logs first; fork and extend for production.

(198 words)

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